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2022-12-09
Yan, Lei, Liu, Xinrui, Du, Chunhui, Pei, Junjie.  2022.  Research on Network Attack Information Acquisition and Monitoring Method based on Artificial Intelligence. 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). 10:2129—2132.

Cyberspace is the fifth largest activity space after land, sea, air and space. Safeguarding Cyberspace Security is a major issue related to national security, national sovereignty and the legitimate rights and interests of the people. With the rapid development of artificial intelligence technology and its application in various fields, cyberspace security is facing new challenges. How to help the network security personnel grasp the security trend at any time, help the network security monitoring personnel respond to the alarm information quickly, and facilitate the tracking and processing of the monitoring personnel. This paper introduces a method of using situational awareness micro application actual combat attack and defense robot to quickly feed back the network attack information to the monitoring personnel, timely report the attack information to the information reporting platform and automatically block the malicious IP.

2017-12-28
Ouffoué, G., Zaidi, F., Cavalli, A. R., Lallali, M..  2017.  Model-Based Attack Tolerance. 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA). :68–73.

Software-based systems are nowadays complex and highly distributed. In contrast, existing intrusion detection mechanisms are not always suitable for protecting these systems against new and sophisticated attacks that increasingly appear. In this paper, we present a new generic approach that combines monitoring and formal methods in order to ensure attack-tolerance at a high level of abstraction. Our experiments on an authentication Web application show that this method is effective and realistic to tolerate a variety of attacks.